Products

Google Bard
Google
Clinical Decision Support & Reference
Google Bard, now known as Gemini, is a generative AI model that can assist healthcare professionals with tasks such as summarizing medical records and research papers, generating hypotheses, and providing information on medical conditions.
Google Cloud Translation API
Google
Developer Tools & APIs
Google Cloud Translation API provides AI-powered neural machine translation for text and documents, enabling healthcare organizations to communicate across language barriers.
Google Med-PaLM 2
Google
Clinical Decision Support & Reference
Google Med-PaLM 2 is a large language model specifically built for healthcare, fine-tuned with medical data to assist with clinical decision support, summarization, and medical Q&A. It has achieved expert-level performance on medical licensing exams and is developing multimodal capabilities to interpret medical images and other data.

See all 6 products →

About Google

Google, a global technology leader, is making significant strides in the healthcare sector through its advanced artificial intelligence (AI) and cloud computing capabilities. For physicians, Google’s initiatives aim to enhance patient care, streamline clinical workflows, and accelerate medical research. This includes developing AI models for improved diagnostic accuracy, such as interpreting medical images and analyzing patient data to identify diseases with greater precision. Google’s generative AI, including its Gemini models, is being applied to reason across complex, multimodal information, from medical images to extensive patient health histories, to help clinicians find key insights and reduce administrative burden.

Through Google Cloud for Healthcare and Life Sciences, the company provides secure, compliant, and scalable AI and data solutions designed to transform care delivery. These solutions support areas like workflow automation, predictive analytics for resource allocation and patient risk assessment, and enhanced data security and interoperability for sensitive patient information. Google is also researching conversational AI agents like AMIE to assist physicians in clinical settings by taking medical histories and suggesting diagnoses and treatments, as well as developing open models like MedGemma for healthcare application development.

Furthermore, Google is committed to improving health literacy, clinician education, and personal health insights through AI, including updates to Fitbit for enhanced sleep tracking and the ability to link medical records for personalized guidance. The company collaborates with the scientific community and healthcare providers globally to advance research and deploy AI responsibly, aiming to make healthcare more accessible and effective for everyone.

Focus Areas

Multimodal AI reasoning Medical search and summary Clinical documentation Imaging workflows Patient outreach and engagement Operational efficiency Personalized medicine Predictive analytics Genomics Mobile sensing Public health Clinician education Claims acceleration Data management Interoperability Generative AI for healthcare Digital pathology Diabetic retinopathy screening Loss of pulse detection Body temperature measurement

Business Intelligence

Key InvestorsSequoia Capital, Kleiner Perkins Caufield & Byers (early investors)
PartnershipsHCA Healthcare, Seattle Children's, American Cancer Society, Hackensack Meridian Health, Stanford Medicine, Suki, Manipal Hospitals, Mayo Clinic, Institute of Women's Cancers, Khushi Baby, Ubie, PwC, CVS Health, League, Apollo Hospitals, Aravind Eye Care System, Bayer, Centre for Infectious Disease Research in Zambia (CIDRZ), Rajavithi Hospital, Sankara Nethralaya, NVIDIA
AcquisitionsDeepMind (general AI acquisition, 2014)
TechnologyGoogle Cloud Platform, Vertex AI, Gemini models (including MedLM, MedGemma, TxGemma), Cloud Healthcare API (supporting FHIR, HL7v2, DICOM), BigQuery, Looker, Dataflow, Cloud Bigtable, AI Platform, Open Health Stack, Google DeepMind, Google Workspace, Google Pixel, Fitbit
FDA Clearances3 cleared products (estimated)

Products by Google

6 products in the directory

Google Bard
Google
Clinical Decision Support & Reference
Google Bard, now known as Gemini, is a generative AI model that can assist healthcare professionals with tasks such as summarizing medical records and research papers, generating hypotheses, and providing information on medical conditions.
Google Cloud Translation API
Google
Developer Tools & APIs
Google Cloud Translation API provides AI-powered neural machine translation for text and documents, enabling healthcare organizations to communicate across language barriers.
Google Med-PaLM 2
Google
Clinical Decision Support & Reference
Google Med-PaLM 2 is a large language model specifically built for healthcare, fine-tuned with medical data to assist with clinical decision support, summarization, and medical Q&A. It has achieved expert-level performance on medical licensing exams and is developing multimodal capabilities to interpret medical images and other data.
Google Cloud AI (with BAA)
Google
Clinical Decision Support & Reference
Google Cloud AI provides a powerful suite of machine learning and AI tools developed to help healthcare businesses optimize operations, gain insights from data, and enhance patient care. It offers solutions for improved diagnostics, personalized treatment, workflow automation, and cost optimization, all built on a secure and compliant platform.
Google Gemini
Google
Clinical Decision Support & Reference
Google Gemini is a powerful AI assistant with advanced capabilities for writing, summarization, and research, applicable to physician productivity and administrative support. It is a multimodal AI, capable of processing text, images, audio, and video, and has specialized versions like Med-Gemini for healthcare applications.
Gemini for Google Workspace
Google
Documentation & Scribing
Google Gemini for Google Workspace is an AI assistant integrated into Google's productivity suite, offering features like writing, summarization, and data analysis to enhance efficiency for physicians and healthcare professionals.

What the Web Says

Google Workspace is widely praised for its seamless integration of productivity tools like Gmail, Docs, Drive, and Calendar, facilitating real-time collaboration and enhancing overall productivity for businesses of all sizes. Many users find it user-friendly, reliable, and a good value for money, especially for small businesses and startups. However, some users have noted limitations with advanced features, occasional sync bugs, and customer support challenges. As an employer, Google is known for competitive compensation, robust benefits, and a strong culture, though some ex-employees express concerns about internal bureaucracy, perceived lack of genuine inclusivity, and high-performance demands.

Overall: Positive

Strengths

  • Seamless integration of productivity tools (Gmail, Docs, Drive, Meet, Calendar).
  • Enhances real-time collaboration and productivity.
  • User-friendly interface and easy to learn.
  • Good value for money, especially for small businesses.
  • Strong security features and cloud-based accessibility.
  • Competitive compensation and comprehensive benefits for employees.

Limitations

  • Limitations with advanced features and customization.
  • Occasional cloud sync bugs and issues with offline mode.
  • Customer support can be slow, challenging to access, or perceived as unhelpful.
  • Pricing can become significant for larger teams or when advanced features are needed.
  • Some employees report high-performance demands, internal bureaucracy, and a disconnect between public image and internal culture.
  • Google Meet's audio quality and features are sometimes considered less robust than competitors like Microsoft Teams.

Based on reviews from: Capterra, G2, Software Advice, Reddit, Mechdyne Corporation, ClinikEHR, YouTube, Primeforge, Becker's Hospital Review, Surgical Review Corporation, Coursera, Indeed.com, Fast Company, LaBella, Zia Networks

Last updated: 2026-08-21

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Frequently Asked Questions

Google's Med-PaLM 2, a large language model trained on medical data, can summarize complex EHRs, answer clinical questions, and synthesize information from vast medical literature. These capabilities, often delivered via Google Cloud's Vertex AI, aim to provide rapid, evidence-based insights while adhering to strict data privacy and security standards like HIPAA.
Google develops AI models for tasks like diabetic retinopathy screening and digital pathology analysis, aiming to assist clinicians in identifying critical findings more efficiently. These solutions are designed for integration with existing PACS and EHR systems, often through Google Cloud, and seek necessary regulatory clearances (e.g., FDA) to ensure clinical applicability and compliance.
Google offers AI-powered speech-to-text and natural language processing capabilities that can assist with transcribing clinician-patient conversations and summarizing key points for EHR entry. These tools, available through Google Cloud, aim to reduce manual documentation burden, allowing clinicians more time for patient care while maintaining data security and HIPAA compliance.
Google's ecosystem, including Wear OS and Fitbit devices, can collect valuable health data for remote monitoring and personalized insights, integrated via platforms like Google Health Connect. These tools empower patients and provide clinicians with longitudinal data, all while prioritizing user data privacy and adhering to relevant healthcare regulations.
Google Cloud provides a secure, HIPAA-compliant infrastructure with services like the Healthcare API, which supports FHIR for seamless data exchange and interoperability across disparate systems. This robust data foundation enables advanced predictive analytics and machine learning models to identify trends, forecast patient outcomes, and optimize resource allocation.
Google maintains stringent security and privacy standards, offering Business Associate Agreements (BAAs) for HIPAA compliance and achieving various certifications like HITRUST. Pricing for Google Cloud healthcare solutions is typically usage-based, with tiered enterprise support options available to ensure healthcare organizations receive dedicated assistance and stability.
Google Cloud Life Sciences offers a scalable, secure platform for storing, processing, and analyzing vast genomic datasets, including tools like DeepVariant for accurate variant calling. These services facilitate genomic research, drug discovery, and the development of personalized treatment strategies, often in collaboration with academic and industry partners.

Investors

Who's funded Google.

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